seq2pathway

a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data

Bioconductor version: Release (3.4)

Seq2pathway is a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data, consisting of "seq2gene" and "gene2path" components. The seq2gene links sequence-level measurements of genomic regions (including SNPs or point mutation coordinates) to gene-level scores, and the gene2pathway summarizes gene scores to pathway-scores for each sample. The seq2gene has the feasibility to assign both coding and non-exon regions to a broader range of neighboring genes than only the nearest one, thus facilitating the study of functional non-coding regions. The gene2pathway takes into account the quantity of significance for gene members within a pathway compared those outside a pathway. The output of seq2pathway is a general structure of quantitative pathway-level scores, thus allowing one to functional interpret such datasets as RNA-seq, ChIP-seq, GWAS, and derived from other next generational sequencing experiments.

Author: Xinan Yang <xyang2 at uchicago.edu>; Bin Wang <binw at uchicago.edu>

Maintainer: Xinan Yang <xyang2 at uchicago.edu> with contribution from Lorenzo Pesce <lpesce at uchicago.edu> and Ana Marija Sokovic <anamarija at uchicago.edu>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("seq2pathway")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("seq2pathway")

Details

Package Archives

Follow Installation instructions to use this package in your R session.